搜索页_+Scenario-based+uncertainty+modeling

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在“Elsevier电子期刊”中，命中：334条，耗时：0.035984 秒

在所有数据库中总计命中：484条

1.Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment

作者：Piyush M. Mehta ; ^{piyushmukeshmehta@gmail.com} ; Martin Kubicek ; Edmondo Minisci ; Massimiliano Vasile

关键词：Debris ; Re-entry ; Ground-impact ; Probabilistic-distribution ; Modeling

刊名：Advances in Space Research

出版年：2017

2.Modeling of nutrient export and effects of management practices in a cold-climate prairie watershed: Assiniboine River watershed, Canada

作者：Balew A. Mekonnen ; ^{baa827@mail.usask.ca} ; Kerry A. Mazurek ; Gordon Putz

关键词：Cold-climate ; Prairie watershed ; Nutrient ; Sub-basin discretization ; Management practices ; Soil and water assessment tool

刊名：Agricultural Water Management

出版年：2017

3.A signal-detection approach to modeling forgiveness decisions

作者：Jolene H. Tan ; ^{tan@mpib-berlin.mpg.de} ; ^{jolene.tan.h@gmail.com} ; Shenghua Luan ^{shluan@mpib-berlin.mpg.de} ; Konstantinos Katsikopoulos ^{katsikop@mpib-berlin.mpg.de}

关键词：Cooperation ; Forgiveness ; Fast-and-frugal trees ; Franklin's rule ; Error management theory ; Signal detection theory

刊名：Evolution and Human Behavior

出版年：2017

4.Modeling of Computational Systemic Deep Mind Under Uncertainty

作者：Ben Khayut ; Lina Fabri ; Maya Avikhana ; ^{ben_hi@hotmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：modeling ; computational ; systemic ; deep mind ; uncertainty ; intelligence ; perception ; thinking ; cognition.

刊名：Procedia Computer Science

出版年：2016

5.Modeling business risk: The effect of regulatory revision on renewable energy investment - The Iberian case

作者：Gyanendra Singh Sisodia^a ; ^b ; ^e ; ^{singh_gis@yahoo.co.in" class="auth_mail" title="E-mail the corresponding author} ; ^{ss_gyanendra@cb.amrita.edu" class="auth_mail" title="E-mail the corresponding author} ; Isabel Soares^b ; ^c ; ^{isoares@fep.up.pt" class="auth_mail" title="E-mail the corresponding author} ; Paula Ferreira^d ; ^{paulaf@dps.uminho.pt" class="auth_mail" title="E-mail the corresponding author}

关键词：Risk modeling ; Investment modeling ; Renewable energy business risk ; Regulation revision ; Regulation uncertainty ; Iberian market ; Renewable energy project

刊名：Renewable Energy

出版年：2016

6.Context scenarios and their usage for the construction of socio-technical energy scenarios

关键词：Energy scenario ; Energy modeling ; Cross-impact balance analysis ; Socio-technical scenario ; Context scenarios

刊名：Energy

出版年：2016

7.Scenario-based dynamic negotiation for the coordination of multi-enterprise supply chains under uncertainty

作者：Kefah Hjaila^a ; José ; M. Laí ; nez-Aguirre^b ; Luis Puigjaner^a ; Antonio Espuñ ; a^a ; ^{antonio.espuna@upc.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：CNS ; Cooperative-negotiation scenario ; CPU ; Central Processing Unit ; GAMS ; The General Algebraic Modeling System ; GloMIQO ; Global Mixed-Integer Quadratic Optimizer ; LP ; Linear programming ; MINLP ; Mixed integer non-linear programming ; MILP ; Mixed integer linear programming ; MW ; Megawatt ; nCNS ; Non-cooperative-negotiation scenario ; NLP ; Non-linear programming ; PMAGA ; Pinch Multi-Agent Genetic Algorithm ; PSE ; Process System Engineering ; RM ; Raw material ; SBDN ; Scenario-based dynamic negotiation ; SC

刊名：Computers & Chemical Engineering

出版年：2016

8.Scenario generation using adaptive sampling: The case of resource scarcity

作者：Tushith Islam ; Erik Pruyt ; ^{e.pruyt@tudelft.nl" class="auth_mail" title="E-mail the corresponding author}

关键词：Adaptive sampling ; Scenario discovery ; Uncertainty ; Exploratory modeling and analysis ; Behavioral spectrum ; System dynamics

刊名：Environmental Modelling & Software

出版年：2016

9.A data-driven method to characterize turbulence-caused uncertainty in wind power generation

作者：Jie Zhang^a ; ^{jiezhang@utdallas.edu" class="auth_mail" title="E-mail the corresponding author} ; Rishabh Jain^b ; Bri-Mathias Hodge^c

关键词：Data-driven ; Surrogate modeling ; Uncertainty quantification ; Turbulence intensity ; Wind distribution

刊名：Energy

出版年：2016

10.Improving scenario discovery by bagging random boxes

作者：J.H. Kwakkel ; ^{j.h.kwakkel@tudelft.nl" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; S.C. CunninghamAuthor Vitae

关键词：Scenario discovery ; Robust decision making ; Exploratory modeling ; Deep uncertainty

刊名：Technological Forecasting & Social Change

出版年：2016

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